AI Summit - TorontoAI

​TorontoAI invites you to an evening of cutting-edge AI insights, live demos, and networking with three expert speakers who are shaping the future of artificial intelligence. From AI security risks to enterprise RAG applications and multi-agent systems, this session is designed to spark ideas, showcase innovation, and connect AI professionals across Toronto.

​📅 Date & Time: 17 Sept 2025 | 5:30 PM – 7:30 PM
📍 Location: ShyftLabs, 100 Yonge St Suite 1501, Toronto, ON M5C 2W1

​🗓 Event Schedule
5:30 – 6:00 PM → Meet & Greet + Light Snacks
6:00 – 6:30 PM → AI Security with Siyavash
6:30 – 7:15 PM → Multi-Agent Systems with Eze
7:15 – 7:30 PM → Networking Wrap-Up
🍕 Pizza + Pops included!

​FEATURED SPEAKERS:

​🔹 Siyavash Nia

​AI Security: Balancing Innovation and Risk
This session looks at the security considerations that come with the growing use of AI. We’ll discuss common risks such as data integrity, adversarial inputs, and system vulnerabilities—along with the opportunities AI brings to improve threat detection and response.

​🔹 Ezequiel (Eze) Lanza

​Eze is working on cutting-edge multi-agentic systems with VLM (Vision-Language Models). He will showcase a multi-agent demo and dive into frameworks like beeai, ACP, and A2A, while also exploring multimodal optimization with Hugging Face (HF). His talk will highlight practical approaches to combining text and vision models for powerful new AI workflows.

​💡 Why Attend?
Whether you’re an AI researcher, engineer, startup founder, or enthusiast, this session offers:

• ​Hands-on demos and practical frameworks

• ​Deep technical insights into AI security and multi-agent systems

• ​Networking opportunities with Toronto’s growing AI community

​👉 RSVP on Meetup: Toronto AI Meetup

​📲 Connect with us:

• ​Instagram: https://www.instagram.com/torontoai_

• ​Facebook: https://www.facebook.com/torontoai

• ​LinkedIn: https://www.linkedin.com/company/torontoai/

• ​TikTok: https://www.tiktok.com/@torontoai

​#TorontoAI #AISummit #MachineLearning #AISecurity #RAG #MultiAgentSystems #AIInnovation #Networking